{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:JZPCLJHAUJPIZXFDZ3ZEVOHEU3","short_pith_number":"pith:JZPCLJHA","canonical_record":{"source":{"id":"1210.7726","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2012-10-29T16:48:07Z","cross_cats_sorted":[],"title_canon_sha256":"606579fdb69c6378eca7b39bf9899e045a9c1d48cd24a3f200d4c3f1cb22911c","abstract_canon_sha256":"0ec2fef3816676f8099c14bd8b9edeb1e1ccf597b8f27fe3f5d56be44305eb14"},"schema_version":"1.0"},"canonical_sha256":"4e5e25a4e0a25e8cdca3cef24ab8e4a6c336a11d60b3b291b4cfab099a9d4e5f","source":{"kind":"arxiv","id":"1210.7726","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.7726","created_at":"2026-05-18T02:19:08Z"},{"alias_kind":"arxiv_version","alias_value":"1210.7726v3","created_at":"2026-05-18T02:19:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.7726","created_at":"2026-05-18T02:19:08Z"},{"alias_kind":"pith_short_12","alias_value":"JZPCLJHAUJPI","created_at":"2026-05-18T12:27:11Z"},{"alias_kind":"pith_short_16","alias_value":"JZPCLJHAUJPIZXFD","created_at":"2026-05-18T12:27:11Z"},{"alias_kind":"pith_short_8","alias_value":"JZPCLJHA","created_at":"2026-05-18T12:27:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:JZPCLJHAUJPIZXFDZ3ZEVOHEU3","target":"record","payload":{"canonical_record":{"source":{"id":"1210.7726","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2012-10-29T16:48:07Z","cross_cats_sorted":[],"title_canon_sha256":"606579fdb69c6378eca7b39bf9899e045a9c1d48cd24a3f200d4c3f1cb22911c","abstract_canon_sha256":"0ec2fef3816676f8099c14bd8b9edeb1e1ccf597b8f27fe3f5d56be44305eb14"},"schema_version":"1.0"},"canonical_sha256":"4e5e25a4e0a25e8cdca3cef24ab8e4a6c336a11d60b3b291b4cfab099a9d4e5f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:19:08.718947Z","signature_b64":"9nj0ht/7+W32ZN9g+QsCbGwDvVwjsDWXX2lnQcL3rZuzEGOSddMy4OL0cQ6EPILpALGpzYEXVHckHKyu7aXVCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e5e25a4e0a25e8cdca3cef24ab8e4a6c336a11d60b3b291b4cfab099a9d4e5f","last_reissued_at":"2026-05-18T02:19:08.718465Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:19:08.718465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1210.7726","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:19:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D8c/O+J8wnoEusvuxiJsG++z7J9dgsxHbkdC5D5YAJhd/9cD5vYOIn5qY9IpWYotPRdMEkyBiOJy/PF315ypBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T23:55:15.955284Z"},"content_sha256":"917038585ed992e627c23b4b681fa5d6ba79e63eb4cc2e5c498884716f905dc2","schema_version":"1.0","event_id":"sha256:917038585ed992e627c23b4b681fa5d6ba79e63eb4cc2e5c498884716f905dc2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:JZPCLJHAUJPIZXFDZ3ZEVOHEU3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Performance Analysis of Parameter Estimation Using LASSO","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Ashkan Panahi, Mats Viberg","submitted_at":"2012-10-29T16:48:07Z","abstract_excerpt":"The Least Absolute Shrinkage and Selection Operator (LASSO) has gained attention in a wide class of continuous parametric estimation problems with promising results. It has been a subject of research for more than a decade. Due to the nature of LASSO, the previous analyses have been non-parametric. This ignores useful information and makes it difficult to compare LASSO to traditional estimators. In particular, the role of the regularization parameter and super-resolution properties of LASSO have not been well-understood yet. The objective of this work is to provide a new insight into this cont"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.7726","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:19:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u5EnCwCTYjyvDlDMAgmmSXAfx5TId4njeSa+9OwLBocov3fJfyWxWiJpJgn52nggWSrp3VL1TstchCtIW/JZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T23:55:15.955674Z"},"content_sha256":"1e3e07ccd9578013e0f88ebcff0d7980380a543e51ea9ad5023f72bafe45e07e","schema_version":"1.0","event_id":"sha256:1e3e07ccd9578013e0f88ebcff0d7980380a543e51ea9ad5023f72bafe45e07e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JZPCLJHAUJPIZXFDZ3ZEVOHEU3/bundle.json","state_url":"https://pith.science/pith/JZPCLJHAUJPIZXFDZ3ZEVOHEU3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JZPCLJHAUJPIZXFDZ3ZEVOHEU3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-25T23:55:15Z","links":{"resolver":"https://pith.science/pith/JZPCLJHAUJPIZXFDZ3ZEVOHEU3","bundle":"https://pith.science/pith/JZPCLJHAUJPIZXFDZ3ZEVOHEU3/bundle.json","state":"https://pith.science/pith/JZPCLJHAUJPIZXFDZ3ZEVOHEU3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JZPCLJHAUJPIZXFDZ3ZEVOHEU3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:JZPCLJHAUJPIZXFDZ3ZEVOHEU3","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0ec2fef3816676f8099c14bd8b9edeb1e1ccf597b8f27fe3f5d56be44305eb14","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2012-10-29T16:48:07Z","title_canon_sha256":"606579fdb69c6378eca7b39bf9899e045a9c1d48cd24a3f200d4c3f1cb22911c"},"schema_version":"1.0","source":{"id":"1210.7726","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.7726","created_at":"2026-05-18T02:19:08Z"},{"alias_kind":"arxiv_version","alias_value":"1210.7726v3","created_at":"2026-05-18T02:19:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.7726","created_at":"2026-05-18T02:19:08Z"},{"alias_kind":"pith_short_12","alias_value":"JZPCLJHAUJPI","created_at":"2026-05-18T12:27:11Z"},{"alias_kind":"pith_short_16","alias_value":"JZPCLJHAUJPIZXFD","created_at":"2026-05-18T12:27:11Z"},{"alias_kind":"pith_short_8","alias_value":"JZPCLJHA","created_at":"2026-05-18T12:27:11Z"}],"graph_snapshots":[{"event_id":"sha256:1e3e07ccd9578013e0f88ebcff0d7980380a543e51ea9ad5023f72bafe45e07e","target":"graph","created_at":"2026-05-18T02:19:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The Least Absolute Shrinkage and Selection Operator (LASSO) has gained attention in a wide class of continuous parametric estimation problems with promising results. It has been a subject of research for more than a decade. Due to the nature of LASSO, the previous analyses have been non-parametric. This ignores useful information and makes it difficult to compare LASSO to traditional estimators. In particular, the role of the regularization parameter and super-resolution properties of LASSO have not been well-understood yet. The objective of this work is to provide a new insight into this cont","authors_text":"Ashkan Panahi, Mats Viberg","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2012-10-29T16:48:07Z","title":"Performance Analysis of Parameter Estimation Using LASSO"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.7726","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:917038585ed992e627c23b4b681fa5d6ba79e63eb4cc2e5c498884716f905dc2","target":"record","created_at":"2026-05-18T02:19:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"0ec2fef3816676f8099c14bd8b9edeb1e1ccf597b8f27fe3f5d56be44305eb14","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2012-10-29T16:48:07Z","title_canon_sha256":"606579fdb69c6378eca7b39bf9899e045a9c1d48cd24a3f200d4c3f1cb22911c"},"schema_version":"1.0","source":{"id":"1210.7726","kind":"arxiv","version":3}},"canonical_sha256":"4e5e25a4e0a25e8cdca3cef24ab8e4a6c336a11d60b3b291b4cfab099a9d4e5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e5e25a4e0a25e8cdca3cef24ab8e4a6c336a11d60b3b291b4cfab099a9d4e5f","first_computed_at":"2026-05-18T02:19:08.718465Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:19:08.718465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9nj0ht/7+W32ZN9g+QsCbGwDvVwjsDWXX2lnQcL3rZuzEGOSddMy4OL0cQ6EPILpALGpzYEXVHckHKyu7aXVCA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:19:08.718947Z","signed_message":"canonical_sha256_bytes"},"source_id":"1210.7726","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:917038585ed992e627c23b4b681fa5d6ba79e63eb4cc2e5c498884716f905dc2","sha256:1e3e07ccd9578013e0f88ebcff0d7980380a543e51ea9ad5023f72bafe45e07e"],"state_sha256":"4f971615e364b99753e399b38ab84919c0ddf26b93e61a9b0781b10ef5653b3f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8LqtnFVWWuq6+9Q6eypEsqrK0+qDj9ylGHp71AjJsqrsJE3dlBCeHD4tjADQxRipcErIkpr2VaUVUOhAocTRDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T23:55:15.958135Z","bundle_sha256":"095825779b6b16f86778802c5e20ca540f50ab01ad61965df76bc452e310560f"}}